Re: [R] Mixed effect model in R

From: Stefan Grosse <singularitaet_at_gmx.net>
Date: Tue 17 Oct 2006 - 14:45:44 GMT

Interesting packages for you might be the nlme and lme4 packages and as a book Pinheiro/Bates, "Mixed-Effects Models in S and S-Plus"

Lina Jansen schrieb:
> Hi,
>
> I am analysing an experiment that has one fixed (6 conditions) and two
> random factors (11 subjects, 24 images in the conditions). I read somewhere
> else that you can also see such a design as a nested experiment with the
> hierarchy: subjects -> condition -> image. For some analysis I have one
> respond variable and for others I have more. The response variables are
> non-normally distributed. Now the question:
>
> Is there a package that can deal with such a design? I would like to use a
> generalized linear model. Are there glms that are extended to do
> multivariate analysis (for the 2 random + 1 fixed variable design)? And how
> do you call such a design?
>
> Last question: Can you suggest me some literature about such a problem? I am
> quite unsure concerning the analysis.
>
> Thanks for any advice
> lisra
>
> [[alternative HTML version deleted]]
>
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https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code. Received on Wed Oct 18 01:15:17 2006

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